A tiled amplicon protocol for culture-free whole-genome sequencing of M. tuberculosis from clinical specimens

Kalinich C.C.; Gonzalez F.L.; Osmaston A.; Breban M.I.; Distefano I.; Leon C.; Coronel J.; Tan G.; Crudu V.; Ciobanu N.; Codreanu A.; Solano W.; Ráez J.; Sheen P.; Zimic M.; Allicock O.M.; Chaguza C.; Wyllie A.L.; Brandt M.; Weinberger D.M.; Sobkowiak B.; Cohen T.; Grandjean L.; Grubaugh N.D.; Redmond S.N. · Journal of Clinical Microbiology (2026) · DOI: 10.1128/jcm.01823-25

Resumen

Whole-genome sequencing of Mycobacterium tuberculosis can be a valuable tool for TB surveillance and treatment, providing insights into transmission patterns and comprehensive drug susceptibility testing. However, the slow growth of M. tuberculosis means traditional culture-based sequencing methods can take weeks to return results, which has limited the widespread adoption of these techniques and limited their use in clinical decision-making. Tiled amplicon sequencing is a fast, reliable, and cost-effective method of whole-genome sequencing that can be done directly on clinical specimens and has been implemented at scale in academic and public health laboratories across the world; it was the cornerstone of SARS-CoV-2 sequencing and has been adapted for a wide range of viral pathogens. However, similar methods are not yet available for far larger bacterial genomes. Extending this approach to M. tuberculosis would significantly reduce the cost, labor, and turnaround time for whole-genome sequencing. We designed a tiled amplicon panel consisting of 5,128 primers that covers the entire M. tuberculosis genome, the largest tiled amplicon sequencing panel we are aware of to date. Applying our amplicon panels to clinical samples of sputum, we show the ability to recover whole-genome bacterial sequences without the need for culture. The resulting sequence data can be used to determine M. tuberculosis lineage and reliably identify markers of drug resistance. Using this approach in clinical settings could reduce the time needed for comprehensive drug susceptibility testing from weeks to days and enable genomic epidemiology to be performed at scale, even in resource-limited settings. Copyright

Instituciones: Universidad Peruana Cayetano Heredia